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SmartData : Privacy Meets Evolutionary Robotics

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Cover of 'SmartData : Privacy Meets Evolutionary Robotics'

Table of Contents

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    Book Overview
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    Chapter 1 Privacy by Design and the Promise of SmartData
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    Chapter 2 SmartData: The Need, the Goal and the Challenge
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    Chapter 3 Perspectives on Artificial Intelligence: Three Ways to Be Smart
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    Chapter 4 Context Dependent Information Processing Entails Scale-Free Dynamics
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    Chapter 5 Philosophy and SmartData
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    Chapter 6 Relevance Realization and the Neurodynamics and Neuroconnectivity of General Intelligence
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    Chapter 7 What Matters: Real Bodies and Virtual Worlds
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    Chapter 8 The Development of Autonomous Virtual Agents
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    Chapter 9 Patterns of Attractors in the “Brain”. Wild Dynamics at the Edge
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    Chapter 10 A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services
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    Chapter 11 Unconstrain the Population: The Benefits of Horizontal Gene Transfer in Genetic Algorithms
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    Chapter 12 A Robust System for Distributed Data Mining and Preserving-Privacy
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    Chapter 13 A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management Policy
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    Chapter 14 Security Risks Assessment Based on Intelligent Systems and Attack Graphs
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    Chapter 15 An Adaptive Intelligent Fuzzy Logic Classifier for Data Security and Privacy in Large Databases
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    Chapter 16 The Security Architecture Discipline as Catalyst to Effect Secure SmartData Design: Employing Abuse Case Elaboration for Attack Vector Discovery and Countermeasure Determination
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    Chapter 17 Trust and Non-person Entities: SmartData as NPE Candidate
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    Chapter 18 Privacy-Enabled Mobile-Health (mHealth)-Based Diabetic Solution
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Title
SmartData : Privacy Meets Evolutionary Robotics
Published by
Springer New York, March 2013
DOI 10.1007/978-1-4614-6409-9
ISBNs
978-1-4614-6408-2, 978-1-4614-6409-9
Authors

Harvey, Inman, Cavoukian, Ann, Tomko, George, Borrett, Don, Kwan, Hon, Hatzinakos, Dimitrios

Editors

Harvey, Inman, Cavoukian, Ann, Tomko, George, Borrett, Don, Kwan, Hon, Hatzinakos, Dimitrios

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Bachelor 3 14%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 8 38%
Readers by discipline Count As %
Computer Science 4 19%
Philosophy 2 10%
Psychology 2 10%
Agricultural and Biological Sciences 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 9 43%